… Thus, the choice of an appropriate probability distribution to … An interesting segmentation
algorithm should consider all the … SAR image segmentation [20] and optical image processing […

… Therefore, many image segmentation techniques can be … A key criterion for analysing surface
topography is the height of … the closed surface is first converted into a signed distance field. …

… widely used in image segmentation, market segmentation, social … distance among the
clusters will be larger and the diameter of the cluster will be smaller. Hence, the selection criterion …

… are established based on specific criteria, such as Otsu’s … image so that the range of intensity
values is [ 0 , L − 1 ] . … In this stage, we select half of dragonflies from current population …

… criteria is a popular image segmentation approach that selects a threshold to maximise the
inter-class variance of the distribution of intensity levels in the image… using natural selection to …

… packages for segmentation are also summarized. The key challenge in image segmentation
is to select optimal parameters and algorithms that can general image objects matching with …

… to the segmented images by covering the total range of the … weight feature extraction for
image segmentation of cracks. … The last two columns show precision and recall criteria for …

… and the Euclidean distance or the region compactness [4]. … Like for the 1D histogram, the
2D histogram surface could be … , we will try to use the criteria SSIM and PSNR as fitness …

… pixels belong to such range (segmentation step). However, … surface material. Therefore,
intensity histogram with carefully … selection criterion for the high-entropy region for the image (A…

… histogram with L total possible intensity levels in the range [0… optimal solution is selected by
using the “greedy criterion”. … α can adjust the search range by exponentially reducing from a …